Not all risks are created equal: A twin study and meta-analyses of risk taking across seven domains.

Not all risks are created equal: A twin study and meta-analyses of risk taking across seven domains.
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DOI:
10.1037/xge0000225
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发表时间:
2016-11
期刊:
Journal of experimental psychology. General
影响因子:
--
通讯作者:
X. T. Wang;R. Zheng;Yan-Hua Xuan;Jie Chen;Shu Li
X. T. Wang;R. Zheng;Yan-Hua Xuan;Jie Chen;Shu Li
中科院分区:
其他
文献类型:
--
作者:
X. T. Wang;R. Zheng;Yan-Hua Xuan;Jie Chen;Shu Li

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Humans routinely deal with both traditional and novel risks. Different kinds of risks have been a driving force for both evolutionary adaptations and personal development. This study explored the genetic and environmental influences on human risk taking in different task domains. Our approach was threefold. First, we integrated several scales of domain-specific risk-taking propensity and developed a synthetic scale, including both evolutionarily typical and modern risks in the following 7 domains: cooperation/competition, safety, reproduction, natural/physical risk, moral risk, financial risk, and gambling. Second, we conducted a twin study using the scale to estimate the contributions of genes and environment to risk taking in each of these 7 domains. Third, we conducted a series of meta-analyses of extant twin studies across the 7 risk domains. The results showed that individual differences in risk-taking propensity and its consistency across domains were mainly regulated by additive genetic influences and individually unique environmental experiences. The heritability estimates from the meta-analyses ranged from 29% in financial risk taking to 55% in safety. Supporting the notion of risk-domain specificity, both the behavioral and genetic correlations among the 7 domains were generally low. Among the relatively few correlations between pairs of risk domains, our analysis revealed a common genetic factor that regulates moral, financial, and natural/physical risk taking. This is the first effort to separate genetic and environmental influences on risk taking across multiple domains in a single study and integrate the findings of extant twin studies via a series of meta-analyses conducted in different task domains. (PsycINFO Database Record